Skip to content
AK

Andrej Karpathy

Thought Leader

Andrej Karpathy is one of the most influential AI researchers of his generation, best known for his foundational contributions to deep learning, computer vision, and large language model development. His work has had cascading effects across the technology landscape, including AdTech, where AI-driven targeting, creative optimization, and audience modeling increasingly rely on the neural network architectures and training methodologies he helped pioneer. He is currently a Researcher on the Pretraining team at Anthropic, where he contributes to the development of next-generation foundation models. Karpathy co-founded OpenAI and served as a core researcher there in its early years, helping establish the organization's research culture and technical direction. He subsequently joined Tesla as Director of AI, where he led the Autopilot vision team and built one of the most sophisticated real-world computer vision and data engine pipelines in existence. After departing Tesla, he returned briefly to independent work and education — most notably through his widely acclaimed 'Neural Networks: Zero to Hero' YouTube series — before joining Anthropic in 2026 to focus on pretraining research. Though Karpathy's career is rooted in foundational AI research rather than AdTech specifically, his influence on the industry is profound and growing. The large language models and vision systems advanced through his work are now central to programmatic advertising, AI-generated creative, brand safety classification, and real-time bidding optimization. His move to Anthropic's pretraining team signals continued impact on the frontier models that will shape the next generation of AI-powered marketing and advertising infrastructure.

Last updated Sep 26, 2026 by ATDb automated enrichment

Role
Researcher, Pretraining team
Company
Based
San Francisco, California, United States
Connections
1
Years in industry
15 years

Bio

Andrej Karpathy is one of the most influential AI researchers of his generation, best known for his foundational contributions to deep learning, computer vision, and large language model development. His work has had cascading effects across the technology landscape, including AdTech, where AI-driven targeting, creative optimization, and audience modeling increasingly rely on the neural network architectures and training methodologies he helped pioneer. He is currently a Researcher on the Pretraining team at Anthropic, where he contributes to the development of next-generation foundation models. Karpathy co-founded OpenAI and served as a core researcher there in its early years, helping establish the organization's research culture and technical direction. He subsequently joined Tesla as Director of AI, where he led the Autopilot vision team and built one of the most sophisticated real-world computer vision and data engine pipelines in existence. After departing Tesla, he returned briefly to independent work and education — most notably through his widely acclaimed 'Neural Networks: Zero to Hero' YouTube series — before joining Anthropic in 2026 to focus on pretraining research. Though Karpathy's career is rooted in foundational AI research rather than AdTech specifically, his influence on the industry is profound and growing. The large language models and vision systems advanced through his work are now central to programmatic advertising, AI-generated creative, brand safety classification, and real-time bidding optimization. His move to Anthropic's pretraining team signals continued impact on the frontier models that will shape the next generation of AI-powered marketing and advertising infrastructure.

Career

  • Director of AI / Head of Autopilot Vision

    Tesla · 2017-2022

  • Research Scientist / Co-founder

    OpenAI · 2015-2017

  • Research Intern

    Google Brain / DeepMind · 2015

  • PhD Researcher

    Stanford University · 2011-2015

Expertise & education

Expertise

Large Language Model PretrainingDeep LearningComputer VisionNeural Network ArchitectureAI-Powered OptimizationFoundation ModelsAutonomous Systems & Data PipelinesAI Education & Evangelism

Education

  • PhD, Computer Science (Deep Learning / Computer Vision), Stanford University
  • MSc, Computer Science, University of British Columbia
  • BSc, Computer Science & Physics, University of Toronto

Speaking topics

Large Language Model Pretraining and ScalingThe Future of AI and Foundation ModelsComputer Vision and Autonomous SystemsAI Education and DemocratizationBuilding AI Research OrganizationsSoftware 2.0 and AI-Native Infrastructure

Recognition

Notable achievements

  • Co-founded OpenAI, one of the most influential AI research organizations in history
  • Built and led Tesla's Autopilot AI vision team, creating one of the world's largest real-world computer vision pipelines
  • Created 'Neural Networks: Zero to Hero' YouTube series, amassing millions of views and becoming a canonical AI education resource
  • Joined Anthropic's Pretraining team in 2026, contributing to frontier foundation model development
  • Developed the widely used CS231n (Convolutional Neural Networks for Visual Recognition) course at Stanford

Awards

MIT Technology Review Innovators Under 35Named among Time100 AI influential figures

Publications

  • Karpathy et al., 'Large-Scale Video Classification with Convolutional Neural Networks,' CVPR 2014
  • Karpathy & Fei-Fei, 'Deep Visual-Semantic Alignments for Image Captioning,' CVPR 2015
  • Karpathy, 'Visualizing and Understanding Recurrent Networks,' ICLR Workshop 2016
  • 'Software 2.0' (Medium essay, 2017) — widely cited manifesto on AI-driven software development
Connection details